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Machine Learning for Green Smart Homes

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Computational Intelligence Techniques for Green Smart Cities

Part of the book series: Green Energy and Technology ((GREEN))

Abstract

Smarter approaches to data processing are essential to realise the potential benefits of the exponential growth in energy data in homes from a variety of sources, such as smart metres, sensors and other devices. Machine learning encompasses several techniques to process and visualise data. Each technique is specifically suited to certain data types and problems, whether it be supervised, unsupervised or reinforcement learning. These techniques can be applied to increase the efficient use of energy within a home, enable better and more accurate home owner decision-making and help contribute to greener building stock. This chapter presents the state of the art in this area and looks forward to potential new uses for machine learning in renewable energy data.

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Acknowledgements

The authors want to acknowledge all the support of the Department of Business, Enterprise and Innovation, via its Disruptive Technologies Innovation Fund (DTIF) [14] which provided funding for the CENTS project under the Government of Ireland’s Project 2040 Plan [27].

Author information

Authors and Affiliations

  1. International Energy Research Centre (IERC), Tyndall National Institute (UCC), Lee Maltings, Dyke Parade, Cork, Ireland, T12 R5CP

    Brian O’Regan, Fábio Silva & Pádraig Lyons

  2. University College Dublin (UCD), UCD Energy Institute, Q250, College of Business, Belfield, Dublin, Ireland, D04 V1W8

    Paula Carroll

  3. XD Sustainable Energy Consulting Ltd, Rocksavage, Clonakilty, Cork, Ireland

    Xavier Dubuisson

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  1. Brian O’Regan
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  2. Fábio Silva
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  3. Paula Carroll
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  4. Xavier Dubuisson
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  5. Pádraig Lyons
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Correspondence to Brian O’Regan .

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Editors and Affiliations

  1. ENS, Hassan II University, Casablanca, Morocco

    Mohamed Lahby

  2. Hamad bin Khalifa University, Doha, Qatar

    Ala Al-Fuqaha

  3. Sultan Moulay Slimane University, Beni-Mellal, Morocco

    Yassine Maleh

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O’Regan, B., Silva, F., Carroll, P., Dubuisson, X., Lyons, P. (2022). Machine Learning for Green Smart Homes. In: Lahby, M., Al-Fuqaha, A., Maleh, Y. (eds) Computational Intelligence Techniques for Green Smart Cities. Green Energy and Technology. Springer, Cham. https://doi.org/10.1007/978-3-030-96429-0_2

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  • DOI: https://doi.org/10.1007/978-3-030-96429-0_2

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